Redis Enterprise Pack (RP)

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Redis Enterprise Pack (RP) enables you to install an enterprise grade cluster that acts as a container for managing and running multiple Redis databases in a highly available and scalable manner, with predictable and stable top performance.

Redis Enterprise Pack (RP) enables you to install an enterprise grade cluster that acts as a container for managing and running multiple Redis databases in a highly available and scalable manner, with predictable and stable top performance.

Redis Enterprise Pack (RP)

Product Overview

Redis Enterprise Pack (RP) enables you to install an enterprise-grade cluster that acts as a container for managing and running multiple Redis databases in a highly available and scalable manner, with predictable and stable top performance. RP is based on the proven technology behind the Redis Cloud offering, already used by thousands of customers. You can install RP in your environment of choice, whether in an on-premises data-center or your preferred cloud platform, giving you full control of your data and configuration. RPs architecture supports multiple databases created by multiple users across the same cluster infrastructure while keeping the databases completely isolated from one another. In addition, RP gives you the flexibility to run your Redis database in multiple configurations to accommodate your specific performance and availability needs. Each such Redis database can separately conform to one of the following deployment templates: - Standalone (a single master Redis server) - Highly-available (a single master with a single slave) - Cluster (multiple master shards) - Highly-available cluster (multiple master and slave shards) RP avoids the "noisy neighbor" phenomenon (common in virtualized or dockerized environments) by constantly monitoring every shard in the cluster. When a shard exhibits abnormal performance, RP will automatically migrate it to an isolated and less-burdened node in the cluster.

Highlights

Seamless scalability a dataset can grow beyond the largest node in the cluster and be processed by any number of cores. You can increase your dataset maximum size by changing the memory limit setting, or increase the number of shards.

True high availability you can replicate a database within the same data-center or across data-centers and across regions to achieve high-availability and disaster recovery. Auto-failover happens seamlessly in seconds without human intervention.

Built-in data persistence, backups and replication - use Redis AOF (Append Only File) every second, or snapshots of your dataset every 1, 6 or 12 hours to persistent storage. In addition, you can back up your dataset periodically or ad-hoc to AWS S3.